Ann Clin Radiol | Volume 4, Issue 1 | Short Communication | Open Access

Histogram Analysis of ADC Values to Differentiate Glioblastoma Multiforme and Metastasis

Shesnia Salim Padikkalakandy Cheriyath* and Rishal Reshin Brayin Pokkantakath

Radio-diagnosis and Nuclear Medicine, Dalian Medical University, Dalian, People's Republic of China

*Correspondance to: Shesnia Salim Padikkalakandy Cheriyath, 

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Abstract

A histogram analysis of apparent diffusion coefficient parameters namely minimum intensity, maximum intensity, median intensity, mean value, standard deviation, volume count, voxel value sum, root mean square, skewness, kurtosis, relative deviation, uniformity, range, mean deviation and variance (obtained from Omni kinetics software) was performed on the entire tumor region of diffusion weighted images of 21 Glioblastoma Multiforme (GBM) and 11 Metastatic Tumor (MET) patients (derived from Functool 2 software). The results showed volume count and voxel value sum as statistically significant and more sensitive and specific parameters (based on p-value and receiver operator characteristics curve analysis respectively) in differentiating GBM and MET.

Keywords:

Glioblastoma multiforme; Metastatic tumor; Resonance imaging

Citation:

Cheriyath SSP, Pokkantakath RRB. Histogram Analysis of ADC Values to Differentiate Glioblastoma Multiforme and Metastasis. Ann Clin Radiol. 2022; 4(1):1018.

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